diff --git a/DropDeform_config.py b/DropDeform_config.py
deleted file mode 100644
index 680776639f3408e37553474a9628dbc1f67be822..0000000000000000000000000000000000000000
--- a/DropDeform_config.py
+++ /dev/null
@@ -1,62 +0,0 @@
-"""
-Droplet Deformation (DropDeform)
-
-Determine droplet deformation into Polyhedron Shape.
-
-Source code of DropDeform: https://git.rwth-aachen.de/avt-fvt/public/droplet-deformation/
-
-The source code of DropDeform is licensed under the Eclipse Public License v2.0 (EPL 2.0).
-Copyright (c) 2025 Fluid Process Engineering (AVT.FVT), RWTH Aachen University.
-Written by Stepan Sibirtsev
-
-The coyprights and license terms are given in LICENSE.
-
-In this script configurations for the DropDeform_main.py script are set.
-Script version date: 06.01.2025
-""" 
-
-# Number of steps in pressure and droplet diameter
-n_steps = 10
-# Minimum pressure [Pa]
-p_min = 0.2
-# Maximum pressure [Pa]
-p_max = 200
-# Minimum droplet diameter [µm]
-d_min = 150
-# Maximum droplet diameter [µm]
-d_max = 1500
-# Minimum interfacial tension [mN/m]
-sigma_min = 2
-# Maximum interfacial tension [mN/m]
-sigma_max = 50
-# Output Excel file with the simulation data of the droplet deformation.
-# Default: Test
-name_output_file = 'Test'
-# Fitting method for the Bond number correlation
-# 0 = fit each polyhedron shape individualy, 1 = fit general parameters to all polyhedron shapes
-fit_meth = 0
-# Transform Bond numbers of the results to logarithmic scale to achieve a more even distribution of the data?
-log_scale = False
-# Number of bins to choose an equal number of randomly chosen iterative solution results within these bins 
-n_bins = 200
-# Display solver warnings? False = no, True = yes
-# Useful for developers.
-# Default: False
-display_solver_warnings = False
-# Gravitational constant g[m/s²]
-grav = 9.81
-# Value next to zeroto avoid numerical iussues during simulation
-zero = 1e-9
-""" Configuration ends here """
-# Assign parameter to int and float
-n_steps = int(n_steps)
-fit_meth = int(fit_meth)
-n_bins = int(n_bins)
-p_min = float(p_min)
-p_max = float(p_max)
-d_min = float(d_min/1e+6)
-d_max = float(d_max/1e+6)
-sigma_min = float(sigma_min/1e+3)
-sigma_max = float(sigma_max/1e+3)
-grav = float(grav)
-zero = float(zero)
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